Courses

This is a list of all courses taken

2021

• Introduction to corporate finance, The Open University Business School

  Financial statements and ratio analysis, financial forecasting and planning, estimating risk and return, efficient-market hypothesis (EMH), capital structure and cost of capital (WACC), dividend policy

• Research methods for finance, The Open University Business School

  Research methods and methodology in finance, time series, panel data, probability distributions, linear and multiple regression, binary regression models

2020

• Network Theory, King's College London

  Graph theory, small world phenomenon and distributions, probabilistic models (information flow), queuing systems and networks, markov chain and decision process, network optimisation and mathematical modeling, optimisation problems (convex, lagrangian, integer programming, heuristics, greedy algorithms)

• Pattern recognition, neural networks, and deep learning, King's College London

  Classifier design and methods, discriminant functions, learning algorithms, neural networks (artifical, multilayer, feedforward), deep discriminative and generative neural networks, feature extraction, support vector machines, clustering

• Nature inspired learning algorithms, King's College London (distinction)

  Analytical and numerical optimisation, random-based optimisation, binary genetic algorithms, continuous genetic algorithms, evolution strategies, ant colony optimisation, particle swarm optimisation, differential evolution

• Big Data technologies, King's College London (distinction)

  Distributed software and database systems, MapReduce, OLTP/OLAP, Apache Spark, data streaming

2019

• Security engineering, King's College London

  Low-level programming in C and x86 Assembly, application security, implementation errors and exploits, static and dynamic analysis, privilege management and access control

• Computer vision, King's College London

  Image formation (physics, geometry, human visual system), filtering and convolution, feature detection, grouping and segmentation, object categorization and recognition, MATLAB

• Agents and multi-agent systems, King's College London

  Intelligent and autonomous agents, BDI, reactive and hybrid agent architectures, auctions and negotiations

• Artificial Intelligence: reasoning and decision making, King's College London

  Knowledge representation, probabilistic reasoning (MDP), temporal probabilistic reasoning, sequential decision making, game theory, argumentation, machine learning

• Introduction to statistics, The Open University

  Descriptive statistics, regression and surveys, hypothesis testing, association and estimation, experiments and clinical trials

2018

• Configuring Linux Web Servers, Udacity

  Linux fundamentals, virtual machines, and PostgreSQL

• Mathematical methods, The Open University (distinction)

  Linear algebra, multivariable calculus, vector fields, first and second-order ordinary differential equations, partial differential equations

• Software engineering, The Open University

  Software architecture, agile methods, design patterns, domain modeling and analysis (UML)

• Data management and analysis, The Open University

  Databases and data architectures, real-world dataset analysis (Python, SQL, MapReduce) and visualization (matplotlib), individual research and report writing

2017

• Web, mobile and cloud technologies, The Open University (distinction)

  Web standards and protocols, distributed architectures (REST, SOAP), mobile frameworks (Java, Android), cloud infrastructure and operations (OpenStack)

• Essential mathematics II, The Open University

  Number theory, geometric transformations, differential equations, combinatorics, eigenvalues and eigenvectors, mathematical language and proof

• Intermediate C++, Microsoft Corporation

  Intermediate concepts in C++

• Introduction to C++, Microsoft Corporation

  Introduction to programming with C++

• Algorithms, data structures and computability, The Open University

  Search and sorting algorithms (Python), binary trees, mathematical notation (sets, functions, logic, and proof), computational complexity

• IT project and service management, The Open University

  Software quality, team working, project and service management techniques (ITIL)

2016

• Web technologies, The Open University (distinction)

  Client-server architecture, content markup (HTML, CSS, XML), usability and security (HTTPS), client and server side implementation languages (JavaScript, PHP, SQL)

• Object-oriented Java programming, The Open University

  Object-oriented concepts and principles with Java

• Technologies in practice, The Open University

  Computer architecture, networking, operating systems (Linux)

• Essential mathematics I, The Open University

  Trigonometric functions, vectors and matrices, differentiation and integration, sequences, complex numbers

• Data Analysis, Delft University of Technology

  Spreadsheet techniques and best practices (PivotTables, VLOOKUPS, what-if analyses, graphs)

• Introduction to Python for Data Science, Microsoft Corporation

  Introduction to data analysis with Python (Numpy, Matplotlib, Pandas)

2015

• Introduction to computing and information technology, The Open University

  Introduction to undergraduate-level computing and information technology

• Introduction to business studies, The Open University

  Introduction to undergraduate-level business studies

• Introduction to mathematical thinking, The Open University

  Introduction to undergraduate-level mathematics and statistics

• Intro to Computer Science, Udacity

  Introduction to programming with HTML, CSS, and Python

• Intro to HTML and CSS, Udacity

  Web development fundamentals, best practices, and professional problem-solving techniques using Developer Tools

2013

• Introduction to Programming and Thinking in Computer Science, Stockholm University

  Introduction to programming concepts and ideas

• Basic Programming with C, Luleå University of Technology

  Introduction to programming with C

• Mathematics II, Karlstad University

  Introduction to undergraduate-level mathematics (in Swedish)

• Spanish: Beginner Course I, Karlstad University

  Introduction to Spanish language and culture

• Physics I, Karlstad University

  Introduction to undergraduate-level physics

• Chemistry I, Karlstad University

  Introduction to undergraduate-level chemistry

• Evolution of Life, Stockholm University

  Introduction to evolutionary biology, ecology, and geology

2012

• Mathematics I, Karlstad University

  Introduction to undergraduate-level mathematics (in Swedish)

• Biology I, Karlstad University

  Introduction to undergraduate-level biology